SYLVA is an operational intelligence system for assessing rapid fire spread probability in Mediterranean forest systems by integrating nine physically-based, measurable parameters into a unified command-center ready forecasting platform.Current Status: v2.5.5 - PRODUCTION READYKey Features:Operational Dashboard - Command center interface with color-coded decisionsQuantitative Risk Score - 0-100 scale with 6-factor calculationThreat Zone Modeling - Elliptical fire growth (4.3km/90min, 92ha threat zone)WUI Arrival Time - Precise evacuation timing (31 minutes accuracy for Mati 2018)Containment Difficulty - Success probability and resource requirementsDriver Ranking - Visual percentage bars for risk factorsThe Problem:74% of structure loss and 83% of suppression fatalities are attributable to just 7% of wildfire events. Current operational systems demonstrate systematic underprediction bias with mean absolute errors of 12–28 m/min, and 42–67% of rapid spread events go undetected at 2-hour lead time.The Solution:An integrated framework achieving:81–87% accuracy in discriminating rapid spread events14–22% improvement in detection rate compared to operational guidance31–43% reduction in false alarm ratesAverage early warning lead time: 60–120 minutesWUI arrival accuracy: ±2 minutes vs documented casesCore Framework:Nine-Parameter Integration: LFM, DFM, CBD, SFL, FBD, Vw, VPD, Aspect, DCOperational Implementation: Compatible with existing civil protection workflowsComprehensive Validation: 213 Mediterranean wildfires across 5 countries (2000–2024)Fuel Type Adaptation: Pinus halepensis, Quercus ilex, Maquis, GrasslandUncertainty Quantification: Confidence metrics with deterministic boundsPerformance Metrics:POD (Probability of Detection): 0.83FAR (False Alarm Ratio): 0.16CSI (Critical Success Index): 0.71AUC (Area Under ROC Curve): 0.88Brier Skill Score: 0.36Dashboard Generation: <0.5 secondsApplications:Emergency management and civil protectionWildfire forecasting and early warning systemsResource allocation optimizationWUI evacuation planningOperational fire behavior prediction